ArticleHematology. American Society of Hematology. Education Program2021
Relapsed disease: off-the-shelf immunotherapies vs customized engineered products.
Article in Hematology. American Society of Hematology. Education Program, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- Safety and efficacy of bispecific antibodies in hematologic neoplasms: a systematic review.Frontiers in immunology · 2026Pooled it
- Outcomes for CART as 2L vs 3L vs 4L or beyond in aggressive B-cell lymphoma: real-world evidence from the ABC Consortium.Blood advances · 2026Article
- Saudi experts statement on advancing multiple myeloma treatment: the evolving role of bispecific antibodies.Frontiers in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Innovations in immuno-oncology for lymphomas have outpaced therapeutic developments in any other cancer histology. In the 1990s, rituximab, a CD20 monoclonal antibody, drastically changed treatment paradigms for B-cell non-Hodgkin lymphomas (B-NHLs). In parallel, the concept that T cells could be genetically reprogrammed and regulated to address tumor cell evasion was developed. Twenty years later, this concept has materialized-3 customized engineered CD19 chimeric antigen receptor T-cell (CART) constructs have been embraced as third-line therapies and beyond for aggressive B-NHL. Responses with CARTs are durable in 30% to 40% of patients, with consistent results in older patients, primary refractory disease, high-grade B-cell lymphoma, and patients with concurrent secondary central nervous system disease, all features historically associated with poorer outcomes. Challenges associated with the administration of CARTs include cumbersome and time-consuming manufacturing processes, toxicities, and cost, not to mention a substantial risk of relapse. Fortunately, as our understanding of how to manipulate the immune system to achieve full antitumor potential has grown, so has the rapid development of off-the-shelf immunotherapies, with CD20/CD3 bispecific antibodies standing out above all others. These agents have shown promising activity in aggressive B-NHL and have the potential to circumvent some of the challenges encountered with customized engineered products. However, toxicities remain substantial, dosing schedules intensive, and experience limited with these agents. Novel customized and off-the-shelf therapeutics as well as rational combinations of these agents are underway. Ultimately, growing experience with both customized engineered and off-the-shelf immunotherapies will provide guidance on optimal methods of delivery and sequencing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.